Instructions to use marulyanova/another_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marulyanova/another_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marulyanova/another_test", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from marulyanova/another_test: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/marulyanova/another_test/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://marulyanova/another_test/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/marulyanova/another_test/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- b814337fb2225961656e9f3538f5a29e4e1a5a78b8586324a9ff2ce5ae7a9fbf
- Size of remote file:
- 492 MB
- SHA256:
- f64b477c42a9d57bf2595683e7ea038b4504f57f081d2ce70feabbfcd91b8fb2
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